Resultados de búsqueda - (decoding OR encoding) (algorithmsssssics OR (algorithm OR (algorithm OR algorithm)))

Fast Two-photon Microscopy by Neuroimaging with Oblong Random Acquisition (NORA) por Whang, Esther, Thomas, Skyler, Yi, Ji, Charles, Adam S.

Tabla de Contenidos: “… designed to encode the target images into fewer measurements that are faster to acquire, with algorithms…”
Enlace del recurso

Towards On-Device Learning and Reconfigurable Hardware Implementation for Encoded Single-Photon Signal Processing por Zang, Zhenya, Li, Xingda, Li, David Day Uei

Tabla de Contenidos: “… propose an online training algorithm based on a One-Sided Jacobi rotation-based Online Sequential Extreme…”
Enlace del recurso

Fast MRI of bones in the knee -- An AI-driven reconstruction approach for adiabatic inversion recovery prepared ultra-short echo time sequences por Nunn, Philipp Hans, Huflage, Henner, Grunz, Jan-Peter, Gruschwitz, Philipp, Schad, Oliver, Bley, Thorsten Alexander, Tran-Gia, Johannes, Wech, Tobias

Tabla de Contenidos: “…. Conjugate gradient sensitivity encoding (CG-SENSE) reconstructions of different retrospectively undersampled…”
Enlace del recurso

FreeQ-Graph: Free-form Querying with Semantic Consistent Scene Graph for 3D Scene Understanding por Zhan, Chenlu, Zhang, Yufei, Wang, Gaoang, Wang, Hongwei

Tabla de Contenidos: “… consistent scene Graph for 3D scene understanding. The core idea is to encode free-form queries from a…”
Enlace del recurso

Provable Non-Convex Euclidean Distance Matrix Completion: Geometry, Reconstruction, and Robustness por Smith, Chandler, Cai, HanQin, Tasissa, Abiy

Tabla de Contenidos: “…. The available distance measurements are encoded as expansion coefficients in a non-orthogonal basis…”
Enlace del recurso

Global Forecasting of Tropical Cyclone Intensity Using Neural Weather Models por Gomez, Milton, Poulain--Auzeau, Louis, Berne, Alexis, Beucler, Tom

Tabla de Contenidos: “…-processing algorithm is tracking-independent, preventing full misses, and we demonstrate that even linear…”
Enlace del recurso

IsoSched: Preemptive Tile Cascaded Scheduling of Multi-DNN via Subgraph Isomorphism por Zhao, Boran, Yuan, Zihang, Hu, Yanbin, Zhai, Haiming, Zhang, Haoruo, Zhao, Wenzhe, Xia, Tian, Ren, Pengju

Tabla de Contenidos: “… in tile pipelines; third, it employs an Ullmann-based algorithm enhanced by Monte Carlo Tree Search (MCTS…”
Enlace del recurso

SafeGuider: Robust and Practical Content Safety Control for Text-to-Image Models por Qi, Peigui, Tang, Kunsheng, Zhou, Wenbo, Zhang, Weiming, Yu, Nenghai, Zhang, Tianwei, Guo, Qing, Zhang, Jie

Tabla de Contenidos: “… encoder in the Stable Diffusion (SD) model, which is a widely used and representative text-to-image model…”
Enlace del recurso

Hybrid Genetic Algorithm for Optimal User Order Routing: Multi-Objective Solver Optimization in CoW Protocol Batch Auctions por Marfinetz, Mitchell

Tabla de Contenidos: “… optimization to this blockchain routing problem, proposing a hybrid genetic algorithm (GA) architecture…”
Enlace del recurso

Mind the Gaps: Auditing and Reducing Group Inequity in Large-Scale Mobility Prediction por Kumar, Ashwin, Zhang, Hanyu, Schweidel, David A., Yeoh, William

Tabla de Contenidos: “…, Black, Hispanic, and White. Built on these labels, our sampling algorithm prioritizes users based…”
Enlace del recurso

Dynamic Deep Graph Learning for Incomplete Multi-View Clustering with Masked Graph Reconstruction Loss por Zhang, Zhenghao, Xie, Jun, Chen, Xingchen, Yu, Tao, Yi, Hongzhu, Xu, Kaixin, Wang, Yuanxiang, Zong, Tianyu, Wang, Xinming, Chen, Jiahuan, Chao, Guoqing, Chen, Feng, Wang, Zhepeng, Xu, Jungang

Tabla de Contenidos: “… challenges remain: (1) Most methods rely on the K-Nearest Neighbors (KNN) algorithm to construct static…”
Enlace del recurso

ScamSweeper: Detecting Illegal Accounts in Web3 Scams via Transactions Analysis por Li, Xiaoqi, Li, Wenkai, Liu, Zhijie, Qiu, Meikang, Liu, Zhiquan, Nie, Sen, Li, Zongwei, Wu, Shi, Zhang, Yuqing

Tabla de Contenidos: “… phishing account detection tools utilize graph learning or sampling algorithms to obtain graph features…”
Enlace del recurso

EdgeMask-DG*: Learning Domain-Invariant Graph Structures via Adversarial Edge Masking por Bhattacharya, Rishabh, Manwani, Naresh

Tabla de Contenidos: “… specific edges encode domain-invariant information. We argue that domain-invariant structural information…”
Enlace del recurso

MonoLoss: A Training Objective for Interpretable Monosemantic Representations por Nasiri-Sarvi, Ali, Nguyen, Anh Tien, Rivaz, Hassan, Samaras, Dimitris, Hosseini, Mahdi S.

Tabla de Contenidos: “… training and evaluation. We study a recent MonoScore metric and derive a single-pass algorithm…”
Enlace del recurso

Index Light, Reason Deep: Deferred Visual Ingestion for Visual-Dense Document Question Answering por Xu, Tao

Tabla de Contenidos: “… descriptions that are then encoded into vectors, and questions are answered via embedding similarity retrieval…”
Enlace del recurso

Constrained and Composite Sampling via Proximal Sampler por Dang, Thanh, Liang, Jiaming

Tabla de Contenidos: “…$. This composite structure is standard in Bayesian inference with $f$ modeling data fidelity and $h$ encoding prior…”
Enlace del recurso

Shape-Agnostic Table Overlap Discovery: A Maximum Common Subhypergraph Approach por Lee, Ge, Huang, Shixun, Bao, Zhifeng, Naumann, Felix, Sadiq, Shazia, Zhao, Yanchang

Tabla de Contenidos: “… it, we propose HyperSplit, a novel branch-and-bound algorithm tailored to table-induced hypergraphs…”
Enlace del recurso

Unmasking Algorithmic Bias in Predictive Policing: A GAN-Based Simulation Framework with Multi-City Temporal Analysis por Barman, Pronob Kumar, Barman, Pronoy Kumar

Tabla de Contenidos: “…Predictive policing systems that direct patrol resources based on algorithmically generated crime…”
Enlace del recurso

ProHunter: A Comprehensive APT Hunting System Based on Whole-System Provenance por Qiu, Xuebo, Lv, Mingqi, Zhang, Yimei, Zhu, Tiantian, Chen, Tieming

Tabla de Contenidos: “… stores long-term provenance graphs using semantic abstraction and bit-level hierarchical encoding…”
Enlace del recurso

Neural Prime Sieves: Density-Driven Generalization and Empirical Evidence for Hardy-Littlewood Asymptotics por Kakkar, Manik

Tabla de Contenidos: “… to surviving candidates, and prior machine learning approaches are limited by the algorithmic randomness…”
Enlace del recurso